Literature DB >> 33123220

Templating in shoulder arthroplasty - A comparison of 2D CT to 3D CT planning software: A systematic review.

Oluwatobi R Olaiya1, Ibrahim Nadeem1,2, Nolan S Horner3, Asheesh Bedi4, Timothy Leroux5, Bashar Alolabi3, Moin Khan3.   

Abstract

BACKGROUND: Computed tomography (CT) utilizing computer software technology to generate three-dimensional (3D) rendering of the glenoid has become the preferred method for preoperative planning. It remains largely unknown what benefits this software may have to the intraoperative placement of the components and patient outcomes.
PURPOSE: The purpose of this systematic review is to compare 2D CT to 3D CT planning in total shoulder arthroplasty. STUDY
DESIGN: Systematic review.
METHODS: A systematic database search was conducted for relevant studies evaluating the role of 3D CT planning in total shoulder arthroplasty. The primary outcome was component placement variability, and the secondary outcomes were intra- and inter-observer reliability in the context of preoperative planning.
RESULTS: Following title-abstract and full-text screening, six eligible studies were included in the review (n = 237). The variability in glenoid measurements between 3D CT and 2D CT planning ranged from no significant difference to a 5° difference in version and 1.7° difference in inclination (p<0.05). Posterior bone loss was underestimated in 52% of the 2D measured patients relative to 3D CT groups. Irrespective of 2D and 3D planning (39% and 43% of cases respectively), surgeons elected to implant larger components than those templated. There was no literature identified comparing differences in time, cost, functional outcomes, complications, or patient satisfaction.
CONCLUSION: The paucity of evidence exploring clinical parameters makes it difficult to comment on clinical outcomes using different methods of templating. More studies are required to identify how improved radiographic outcomes translate into improvements that are clinically meaningful to patients.
© 2019 The British Elbow & Shoulder Society.

Entities:  

Keywords:  TSA; computed tomography; glenoid

Year:  2019        PMID: 33123220      PMCID: PMC7545523          DOI: 10.1177/1758573219888780

Source DB:  PubMed          Journal:  Shoulder Elbow        ISSN: 1758-5732


  24 in total

1.  Methodological index for non-randomized studies (minors): development and validation of a new instrument.

Authors:  Karem Slim; Emile Nini; Damien Forestier; Fabrice Kwiatkowski; Yves Panis; Jacques Chipponi
Journal:  ANZ J Surg       Date:  2003-09       Impact factor: 1.872

Review 2.  Complications of unconstrained shoulder prostheses.

Authors:  Jean-François Gonzalez; Ghassan B Alami; François Baque; Gilles Walch; Pascal Boileau
Journal:  J Shoulder Elbow Surg       Date:  2011-03-21       Impact factor: 3.019

3.  The influence of three-dimensional planning on decision-making in total shoulder arthroplasty.

Authors:  Birgit S Werner; Robert Hudek; Klaus J Burkhart; Frank Gohlke
Journal:  J Shoulder Elbow Surg       Date:  2017-02-02       Impact factor: 3.019

4.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

5.  Patient-specific instrumentation improved mechanical alignment, while early clinical outcome was comparable to conventional instrumentation in TKA.

Authors:  Werner Anderl; Leo Pauzenberger; Roman Kölblinger; Gabriele Kiesselbach; Georg Brandl; Brenda Laky; Bernhard Kriegleder; Philipp Heuberer; Eva Schwameis
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-10-19       Impact factor: 4.342

6.  Accuracy of CT-based measurements of glenoid version for total shoulder arthroplasty.

Authors:  Heinz R Hoenecke; Juan C Hermida; Cesar Flores-Hernandez; Darryl D D'Lima
Journal:  J Shoulder Elbow Surg       Date:  2009-12-02       Impact factor: 3.019

7.  Three-dimensional preoperative planning software and a novel information transfer technology improve glenoid component positioning.

Authors:  Joseph Iannotti; Justin Baker; Eric Rodriguez; John Brems; Eric Ricchetti; Mena Mesiha; Jason Bryan
Journal:  J Bone Joint Surg Am       Date:  2014-05-07       Impact factor: 5.284

8.  Optimizing glenoid component position using three-dimensional computed tomography reconstruction.

Authors:  Heinz R Hoenecke; Juan C Hermida; Nicholas Dembitsky; Shantanu Patil; Darryl D D'Lima
Journal:  J Shoulder Elbow Surg       Date:  2008-04-18       Impact factor: 3.019

9.  The contribution of reverse shoulder arthroplasty to utilization of primary shoulder arthroplasty.

Authors:  Nitin B Jain; Ken Yamaguchi
Journal:  J Shoulder Elbow Surg       Date:  2014-10-07       Impact factor: 3.019

10.  Complications in reverse shoulder arthroplasty.

Authors:  Raul Barco; Olga D Savvidou; John W Sperling; Joaquín Sanchez-Sotelo; Robert H Cofield
Journal:  EFORT Open Rev       Date:  2017-03-13
View more
  1 in total

1.  Prevalence and Clinical Impact of Incidental Findings on Preoperative 3D Planning Computed Tomography for Total Shoulder Arthroplasty.

Authors:  Yuqing Chen; Sarav S Shah; Alexander M Roche; Lambert T Li; Matthew Chilton; Benjamin Saks; Meghan Macaskill; Glen Ross
Journal:  J Am Acad Orthop Surg Glob Res Rev       Date:  2022-08-05
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.